Video library
Whether it's economic trends, capital markets or social changes - Zsolt Janos is regularly invited as an expert to TV programs to classify developments and explain connections in an understandable way.
Most popular videos of the last 30 days:
17.11.2025 | Zsolt & Martin's Talk
Now comes AI - with CEO Borno Janekovic
In conversation with Omphalos CEO Borno Janekovic, we explore a provocative question: Is AI the better investor?
The content discussed in this video is for general informational purposes ONLY and under no circumstances constitutes a recommendation to buy or sell specific investments. It is therefore not investment advice, as I cannot assess the risk profile and financial situation of individual viewers. Anyone who decides to buy or sell investment products or assets based on the information discussed in this video does so at their own discretion and risk. I cannot accept any liability if you make your own investment decisions based on the information in this video and consequently incur losses.
Summary
AI is revolutionizing the financial world
Artificial intelligence (AI) is on everyone's lips, but how can it be used effectively in the financial sector? In this article, we summarize the key findings from an insightful conversation with Zsolt Janos together, an expert in the field of AI-driven investments.
The origin of the idea: From AlphaGo to financial markets
The inspiration for AI-driven investments came from AlphaGo's legendary victory against the best human Go player. Go is far more complex than chess. While chess is about 10100 Go offers possibilities, exceeding expectations with 10720 Every imagination. Zsolt Janos explains that the idea behind it was: If a machine can play Go, then it can also invest.
How does the AI-driven investment model work?
The core of the approach is a fund that has been in operation since 3 years and 10 months It acts completely autonomously. This means that no human decisions were made during this time. The AI handles risk allocation, portfolio selection, and all trading.
The system is based on a variety of Trading Agents, current 800, which operate in parallel and autonomously. This number is expected to increase to in the future. 2.000 and later even on 10.000 increase.
- Autonomous action: The AI makes all decisions without human intervention.
- Diversification through agents: Many independent agents ensure a broad risk profile.
- Focus on uncorrelation: The goal is for the agents to act as uncorrelated as possible in order to achieve stable returns.
The team's role: Research and development
The team focuses on further developing the software, improving the methods, and creating new trading agents. It's a constant race to continuously improve the AI.
Avoiding "lucky punches": Consistency instead of luck
An important aspect is avoiding lucky breaks. If an agent suddenly performs significantly better in the fund than in the simulator, their behavior is analyzed and they may be retrained or deactivated. Termination meetings are considerably shorter than with human traders.
The system aims for a hit rate of approximately 60/40 This means that profits are made in 60% of cases and losses in 40%. It is important that this ratio remains stable in the long term.
Training and simulation: The path to the autonomous agent
New trading agents undergo an intensive training process similar to a school. They learn in a simulator and trade thousands of times before being accepted into paper trading and eventually into the real fund. This prevents overfitting and promotes generalization.
Transparency and trade secrets
Although much is communicated openly, the secret lies in the details: how the AI is trained is the real know-how. It's like with Google Gemini and OpenAI – both use similar technologies, but ChatGPT is (still) superior.
The future of AI in institutional investment
Zsolt Janos is convinced that AI-driven systems will replace professional fund managers in the future. In fact, they are already being used today. 80% of the flow is traded automatically.Institutional investors look for uncorrelatedness and stable metrics such as Sharpe ratio, volatility, and correlation. A return of 10% annualized and a slash size of 1,5 These are minimum requirements.
Risk management: Preparing for the unknown
The system is designed to handle unforeseen events. Diversification, long and short positions, stop-loss orders, and option overlays are key tools. Even in February, when Russia invaded Ukraine, the fund generated a profit of 2,18%.
The name "Omfalos": The navel of the world
The name Omfalos (ancient Greek for navel) is derived from the Omfalos Stone in the Oracle of Delphi, which connects heaven and earth. It symbolizes the center and is a fitting description for a company at the heart of technological innovation.
Conclusion: AI is here to stay.
AI-driven investments are not hype, but a real development with great potential. Zsolt Janos and his team demonstrate how AI can transform the financial world – with autonomous systems, diversified strategies, and a clear focus on risk management.
Note: The product described in this article is not authorized for distribution and is not suitable for retail investors. It includes instruments such as shorting and leverage, which require a high level of risk awareness.
Your wealth management advisor in Austria
Are you looking for competent and independent financial advice in Austria? Contact us for a free initial consultation and find out how we can help you achieve your financial goals.
